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Combining a patch-based approach with a non-rigid registration-based label fusion method for the hippocampal segmentation

We propose a patch-based labeling method, which cooperates
with a label fusion using non-rigid registrations. We present
a novel patch-based label fusion method, whose selected patches and their weights are calculated from a combination of similarity measures between patches using intensity-based distances and labeling-based distances, where a previous labeling of the target image is inferred by a label fusion method using non-rigid registrations. We compare several label fusion methods on publicly available MR images of human brains for segmenting the hippocampus.